Wakapi

Data Engineer

• Construct resilient Python data processing pipelines using Medallion architecture principles (Bronze/Silver/Gold)
• Transform raw data into analytics-ready assets
• Standardize data storage using Parquet, Apache Iceberg, and Delta Lake
• Leverage DuckDB with Python for localized data processing within ETL workflows
• Architect and optimize production PostgreSQL schemas
• Utilize SQLite for embedded or lightweight localized storage
• Scale ETL, data transformation, and analytics workloads using Databricks or Apache Spark

Data Engineer – Core, Analytics

Systems Engineer

• Research, architect, and construct production AI vision systems
• Design, train, and fine-tune vision models for object detection, classification, and attribute extraction
• Build low-latency ingestion and processing pipelines for high-throughput video and image streams
• Engineer end-to-end computer vision workflows, including LPR/ANPR, OCR, and multi-object tracking
• Optimize model performance for cloud infrastructure and edge devices using TensorRT, ONNX, or OpenVINO
• Curate, annotate, and augment visual datasets
• Establish automated model retraining loops and evaluation frameworks
• Extract attributes and infer intelligence from image and video streams in real time

Data Engineer – Core, Analytics

Computer Vision, AI Systems Engineer